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Cognitive Networks: Towards Self-Aware Networks Hardcover – September 11, 2007

ISBN-13: 978-0470061961 ISBN-10: 0470061960 Edition: 1st

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Product Details

  • Hardcover: 368 pages
  • Publisher: Wiley-Interscience; 1 edition (September 11, 2007)
  • Language: English
  • ISBN-10: 0470061960
  • ISBN-13: 978-0470061961
  • Product Dimensions: 9.8 x 6.7 x 1.2 inches
  • Shipping Weight: 1.8 pounds (View shipping rates and policies)
  • Average Customer Review: 3.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #2,018,517 in Books (See Top 100 in Books)

Editorial Reviews

Review

"This is an important book that provides a well-balanced, well-edited, and well-written digest of an important subject." (Computing Reviews, May 1, 2008)

From the Back Cover

Cognitive networks can dynamically adapt their operational parameters in response to user needs or changing environmental conditions. They can learn from these adaptations and exploit knowledge to make future decisions.

Cognitive networks are the future, and they are needed simply because they enable users to focus on things other than configuring and managing networks. Without cognitive networks, the pervasive computing vision calls for every consumer to be a network technician. The applications of cognitive networks enable the vision of pervasive computing, seamless mobility, ad-hoc networks, and dynamic spectrum allocation, among others.

In detail, the authors describe the main features of cognitive networks clearly indicating that cognitive network design can be applied to any type of network, being fixed or wireless. They explain why cognitive networks promise better protection against security attacks and network intruders and how such networks will benefit the service operator as well as the consumer.

Cognitive Networks

  • Explores the state-of-the-art in cognitive networks, compiling a roadmap to future research. 
  • Covers the topic of cognitive radio including semantic aspects.
  • Presents hot topics such as biologically-inspired networking, autonomic networking, and adaptive networking.
  • Introduces the applications of machine learning and distributed reasoning to cognitive networks.  
  • Addresses cross-layer design and optimization.
  • Discusses security and intrusion detection in cognitive networks.

Cognitive Networks is essential reading for advanced students, researchers, as well as practitioners interested in cognitive & wireless networks, pervasive computing, distributed learning, seamless mobility, and self-governed networks.

With forewords by Joseph Mitola III as well as Sudhir Dixit.

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2 of 2 people found the following review helpful By Dr. Lee D. Carlson HALL OF FAMEVINE VOICE on March 22, 2009
There are several questions that immediately come to mind when contemplating the notion of a cognitive network. Some of these include:
1. In what sense are cognitive networks "intelligent", thus justifying the adjective "cognitive"? If these types of networks are intelligent, is there a methodology for quantifying the intelligence of these networks that would allow for example a partial or even well-ordering of cognitive networks according to their intelligence? Quantifying artificial intelligence is of both academic and practical interest, since in the former it will permit an ongoing assessment as to how far researchers have progressed in obtaining machine intelligence while in the latter it will allow network managers to assess the costs of deploying machine intelligence.

2. Do cognitive networks have an "artificial immune system", i.e. a strategy or collection of strategies for recognizing malicious attempts to disrupt or suppress the data flows in these networks or gain access to sensitive information that exists on them? And if so, is this artificial immune system aggressive in the sense that it will take action against intrusion or other forms of malicious activity? Or is it passive, i.e. merely alerting the system administrator to its presence? There are two articles in this book that address these questions, at least to some extent, although the expression "artificial immune system" is not used.

3. Do cognitive networks need the ability to "think in many domains", i.e. do they need to be capable of processing (and differentiating) information originating in my different contexts?
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